Malware Detection in Self-Driving Vehicles Using Machine Learning Algorithms

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Category</td><td class="align_center">User interaction scenario</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Confidentiality</td><td class="align_center">Information leakage (trip/location records, camera video/images, contact list, call/SMS history)</td></tr><tr><td class="align_left">Integrity</td><td class="align_center">Intentionally manipulated application installation (injection of malicious code disguised as a modified application)</td></tr><tr><td class="align_left">Availability</td><td class="align_center">Continuous resource consumption (large-scale traffic transmission) and system termination (intentionally resulting in various exception cases)</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>User interaction scenarios analyzed in this study.</div>

Journal of Advanced Transportation

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Table 2

Table 2: Malware Detection in Self-Driving Vehicles Using Machine Learning Algorithms 